An Innovative Approach to Teaching Online Statistics Courses


Authors: 
Michelle G. Everson and Joan Garfield
Volume: 
2(1)
Pages: 
online
Year: 
2008
Publisher: 
Technology Innovations in Statistics Education
URL: 
http://repositories.cdlib.org/uclastat/cts/tise/vol2/iss1/art3/
Abstract: 

This paper describes two innovative online introductory statistics courses that utilize technology to create unique interactive learning environments. In these courses, technology is used to enable students to collaborate and learn from each other, in addition to learning from required course materials and the instructor. Technology is also introduced into the courses as a way to better illustrate important statistical concepts and provide students with tools to describe and analyze data. In this paper, special attention is paid to the way in which the GAISE recommendations have been implemented in one key component of the online courses: small-group discussion. Evaluative data gathered from students is used to describe how students perceive the discussion component of the courses, as well as how desired learning outcomes are being achieved. The paper concludes with a discussion of lessons learned from teaching an online statistics course, and implications for future development of online staiststics courses.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education